1

Contract Machine Learning Software Engineer Jobs in Montevallo, AL

Sr Software Engineer (Java)

Birmingham, AL · Remote

$117K - $154K/yr

Senior Software Engineer Architect the Future of a $1B+ Revenue Engine Are you a master of modern ... learning. * Champion Engineering Excellence: Infuse Agile/Scrum best practices, robust CI/CD ...

Data Engineer IV

Birmingham, AL · On-site

$107K - $128K/yr

Typically requires a bachelor's degree in computer science, software engineering, or a related ... Ability to automate and operationalize machine learning workflows. * Applies knowledge to analyze ...

NGA AI Engineer Manager

Birmingham, AL · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Computer Science, Software Engineering, Artificial Intelligence and Robotics preferred ...

... Software Engineering, Artificial Intelligence and Robotics preferred - Designing, training, and deploying machine learning models - Developing scalable, cloud-native microservices using Docker and ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Science, Software Engineering, Artificial Intelligence and Robotics preferred - Crafting and ...

Data, Analytics & AI Engineer

Birmingham, AL

$107K - $128K/yr

Data, Analytics & AI Engineer Help Build the Future of Data, Analytics & AI Are you passionate ... Drive AI Innovation Design, prototype, and deploy AI and Machine Learning solutions. Build ...

New

Mentor senior engineers and technical leads, fostering a culture of engineering excellence and continuous learning. * Lead proof of concepts, experimentation, and technology evaluations to validate ...

next page

Showing results 1-20

Contract Machine Learning Software Engineer information

See Montevallo, AL salary details

$62.5K

$145.1K

$202.1K

How much do contract machine learning software engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for contract machine learning software engineer in Montevallo, AL is $145,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $170,200.00 per year, depending on experience, location, and employer.

How does a Contract Machine Learning Software Engineer typically collaborate with full-time team members during a project?

As a Contract Machine Learning Software Engineer, you will often work closely with full-time data scientists, software engineers, and product managers. Collaboration usually happens through regular stand-up meetings, code reviews, and shared documentation platforms. Despite being a contractor, you’re expected to integrate seamlessly with the team, communicate progress transparently, and adapt to the company’s workflows. Building strong relationships and proactively seeking feedback can help ensure your contributions align with the project’s goals and timelines.

What is the difference between Contract Machine Learning Software Engineer vs Data Scientist?

AspectContract Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master’s in CS, ML, or related fields; experience with ML frameworksBachelor's or Master’s in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often remote, focused on developing ML models and softwareData analysis, visualization, and interpretation, often in research or business settings
Employer & Industry UsageTech companies, startups, consulting firms; used for deploying ML solutionsResearch institutions, finance, healthcare, and tech; used for insights and decision-making

The main difference is that Contract Machine Learning Software Engineers focus on developing and deploying ML models as software solutions, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary objectives and work environments differ.

What are the key skills and qualifications needed to thrive as a Contract Machine Learning Software Engineer, and why are they important?

To thrive as a Contract Machine Learning Software Engineer, you need a strong background in computer science, proficiency in programming languages like Python, and expertise in machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, along with knowledge of version control systems like Git, is essential. Strong problem-solving abilities, communication skills, and the ability to work independently or with cross-functional teams make someone stand out in this role. These skills ensure efficient delivery of scalable machine learning solutions that meet client requirements and project timelines.

What is a Contract Machine Learning Software Engineer?

A Contract Machine Learning Software Engineer is a professional who is hired on a temporary or project basis to design, develop, and deploy machine learning models and systems. They often work with organizations that need specialized expertise for a limited duration, helping to build algorithms, analyze data, and integrate AI solutions into existing software products. Contract engineers typically have strong backgrounds in programming, mathematics, and data science, and they may work remotely or on-site. Their responsibilities can range from data preprocessing and model training to deploying models in production environments. This arrangement allows companies to access advanced machine learning skills without committing to a full-time hire.
Sr Software Engineer (Java)

Sr Software Engineer (Java)

Fusion HCR

Birmingham, AL • Remote

$117K - $154K/yr

Full-time

Posted 12 days ago


Job description

Fusion HCR is Hiring!  Sr. Software Engineer for a Direct Hire role with our client in Birmingham, AL!
Senior Software Engineer
Architect the Future of a $1B+ Revenue Engine
Are you a master of modern Java who thrives at the intersection of architectural strategy and hands-on execution? Do you want to lead the cloud-native evolution of a massive enterprise ecosystem?
We are looking for a Senior Software Engineer  to spearhead the modernization of our Sales IT domain. In this role, you won't just write code—you will own the technical blueprint for our entire quote-to-invoice lifecycle, driving the scalability, resilience, and performance of a portfolio that fuels over $1 Billion in revenue. If you are passionate about cutting-edge tech like Java 21 and Google Cloud Platform (GCP), and you love mentoring global teams to engineering excellence, let’s build something incredible together.
Key Responsibilities
  • Drive Technical Strategy: Serve as the primary SME, defining the application architecture, technical roadmaps, and solution designs for a massive sales application portfolio.
  • Build Cloud-Native Innovations: Design and deploy resilient, high-performance Java microservices and SaaS solutions utilizing GCP and Cloud Functions (FaaS).
  • Elevate the Team: Guide and synchronize globally distributed development teams; mentor junior and mid-level engineers to foster a culture of continuous learning.
  • Champion Engineering Excellence: Infuse Agile/Scrum best practices, robust CI/CD pipelines, automated testing, and top-tier technical documentation into our daily delivery.
What You Bring to the Table
Experience & Education
  • 10+ years of battle-tested experience building and supporting enterprise-scale software applications.
  • A proven track record of leading large-scale application modernization or greenfield SaaS projects.
  • Experience supporting mission-critical, high-revenue business platforms (highly preferred).
  • Bachelor’s degree in Computer Science, IT, Software Engineering, or a related field (preferred).
Technical Masteries
  • Core Java (Expert Level): Deep proficiency with Java 21 (including Streams, Functional Programming, Futures, Virtual Threads, and Completable Future).
  • Frameworks & Architecture: Strong experience with Quarkus (preferred) or Spring Boot. Deep expertise in microservices, event-driven systems, and distributed application design.
  • Data & APIs: Mastery of API design/integration (publisher & consumer), JDBC, ORM frameworks, and MongoDB.
  • Cloud & DevOps: Hands-on experience deploying/managing applications on GCP, paired with strong Git-based source control and Agile/Kanban delivery.
Bonus Points For:
  • Google Pub/Sub or Apache Kafka
  • Azure DevOps Pipelines & Jira
Why This Role?
This isn’t just another maintenance gig. This is a high-visibility opportunity for a seasoned software engineering leader to leave a lasting legacy. You'll work in a fast-paced enterprise environment, weaponize the latest cloud tech, and directly impact our bottom line.
Must be authorized to work in the U.S. without current or future visa sponsorship. Education in Computer Science, IT, or a related field preferred.